Triple

T6563831
Position Surface form Disambiguated ID Type / Status
Subject Ulju-gun E153850 entity
Predicate hasSubdivision P747 FINISHED
Object Ungchon-myeon
Ungchon-myeon is a rural township-level administrative division located within Ulju County in Ulsan, South Korea.
E617198 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Ungchon-myeon | Statement: [Ulju-gun, hasSubdivision, Ungchon-myeon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ungchon-myeon
Context triple: [Ulju-gun, hasSubdivision, Ungchon-myeon]
  • A. Gamgok-myeon
    Gamgok-myeon is a rural township-level administrative area located within Eumseong County in North Chungcheong Province, South Korea.
  • B. Daeso-myeon
    Daeso-myeon is a rural township-level administrative area located within Eumseong County in North Chungcheong Province, South Korea.
  • C. Wonnam-myeon
    Wonnam-myeon is a rural township-level administrative division located within Eumseong County in North Chungcheong Province, South Korea.
  • D. Samseong-myeon
    Samseong-myeon is a rural township-level administrative area within Eumseong County in North Chungcheong Province, South Korea.
  • E. Samnam-myeon
    Samnam-myeon is an administrative township-level division located within Ulju County in Ulsan, South Korea.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ungchon-myeon
Triple: [Ulju-gun, hasSubdivision, Ungchon-myeon]
Generated description
Ungchon-myeon is a rural township-level administrative division located within Ulju County in Ulsan, South Korea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ungchon-myeon
Target entity description: Ungchon-myeon is a rural township-level administrative division located within Ulju County in Ulsan, South Korea.
  • A. Gamgok-myeon
    Gamgok-myeon is a rural township-level administrative area located within Eumseong County in North Chungcheong Province, South Korea.
  • B. Daeso-myeon
    Daeso-myeon is a rural township-level administrative area located within Eumseong County in North Chungcheong Province, South Korea.
  • C. Wonnam-myeon
    Wonnam-myeon is a rural township-level administrative division located within Eumseong County in North Chungcheong Province, South Korea.
  • D. Samseong-myeon
    Samseong-myeon is a rural township-level administrative area within Eumseong County in North Chungcheong Province, South Korea.
  • E. Samnam-myeon
    Samnam-myeon is an administrative township-level division located within Ulju County in Ulsan, South Korea.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c6880cb35881909b763eb0125236b9 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae3a40488190892d20ca0d60b937 completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7127fc0a081909589c2a05e457866 completed March 27, 2026, 11:27 p.m.
NEDg Description generation batch_69c7130b4a788190978cbdc08e640fc0 completed March 27, 2026, 11:30 p.m.
NED2 Entity disambiguation (via description) batch_69c713ead2a48190bbf95caf2ca8d997 completed March 27, 2026, 11:34 p.m.
Created at: March 27, 2026, 1:52 p.m.